Railway track condition monitoring using dynamic measurements on in-service vehicles

Zhu, XQ; Law, SS; Samali, B

Railway track condition monitoring using dynamic measurements on in-service vehicles

Zhu, XQ

Law, SS Samali, B

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Publication Type:: Conference Proceeding
Citation:: Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016, 2017, pp. 1565 - 1569
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Zhu, XQ https://orcid.org/0000-0001-5083-9320	en_US
dc.contributor.author	Law, SS	en_US
dc.contributor.author	Samali, B https://orcid.org/0000-0002-3426-7745	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016, 2017, pp. 1565 - 1569	en_US
dc.identifier.isbn	9781138029934	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127662
dc.description.abstract	© 2017 Taylor & Francis Group, London. Railway track is one of the most important parts for the railway system and its condition monitoring is essential to ensure the safety of the system. Currently, the track condition is inspected by the stationary equipments or specified low-speed track inspection vehicle. The track inspection needs close the railway system. An adaptive regularization approach has been developed to identify the parameters of the track substructure from dynamic measurements on the in-service vehicles in this paper. The vehicle-track interaction system is modelled as the discrete mass-spring model on Winkler elastic foundation. The damage is defined as the stiffness reduction of the track that includes the foundation settlement, damaged rail fastener and damaged ballast. Numerical results show that the approach can identify all stiffness parameters successfully at normal moving speed and in high sampling frequency with measurement noise.	en_US
dc.relation.ispartof	Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016	en_US
dc.title	Railway track condition monitoring using dynamic measurements on in-service vehicles	en_US
dc.type	Conference Proceeding
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 Taylor & Francis Group, London. Railway track is one of the most important parts for the railway system and its condition monitoring is essential to ensure the safety of the system. Currently, the track condition is inspected by the stationary equipments or specified low-speed track inspection vehicle. The track inspection needs close the railway system. An adaptive regularization approach has been developed to identify the parameters of the track substructure from dynamic measurements on the in-service vehicles in this paper. The vehicle-track interaction system is modelled as the discrete mass-spring model on Winkler elastic foundation. The damage is defined as the stiffness reduction of the track that includes the foundation settlement, damaged rail fastener and damaged ballast. Numerical results show that the approach can identify all stiffness parameters successfully at normal moving speed and in high sampling frequency with measurement noise.

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http://hdl.handle.net/10453/127662